Notice Period: Immediate

Experience: 3+ Yrs

Key responsibilities

CI/CD and release management

- Design and maintain multi-stage YAML pipelines in Azure DevOps (and GitHub Actions where clients require) for apps, APIs, data pipelines and AI agents.

- Set up branching strategies, pull-request policies, environments, approvals and automated rollback.

- Manage Azure Boards, Repos and Artifacts for multiple client projects.

Infrastructure as code and platform

- Provision Azure environments with Terraform or Bicep: AKS, App Service, Container Apps, Azure Functions, API Management, networking and storage.

- Build and secure container workflows with Docker, Azure Container Registry and Helm.

- Maintain dev, test and production landing zones with consistent tagging, policies and cost controls.

AI and agent deployment (LLMOps)

- Automate deployment of agents and models to Azure AI Foundry, Azure OpenAI and Databricks Model Serving, including Databricks Asset Bundles.

- Version prompts, agent configs and evaluation datasets; gate releases on automated quality and safety evaluations.

- Manage vector store, AI Search and model endpoint infrastructure, quotas and scaling.

Security, monitoring and reliability

- Implement DevSecOps: secret management in Key Vault, managed identities, Entra ID RBAC, private endpoints, and code and container scanning.

- Set up observability with Azure Monitor, Application Insights and Log Analytics, including LLM latency, token usage and cost dashboards.

- Own incident response,



backup and disaster recovery runbooks for production systems.

Collaboration

- Work with AI, data and app engineers to make deployments repeatable across client tenants.

- Document pipelines, environments and handover guides for client IT teams.

Required skills and qualifications

- Bachelor’s degree in Computer Science, Engineering or a related field.

- About 3 years in DevOps or cloud engineering, with at least 2 years on Azure DevOps and Azure.

- Strong YAML pipeline authoring in Azure DevOps; working knowledge of GitHub Actions.

- Hands-on Terraform or Bicep for Azure resources.

- Docker and Kubernetes (AKS) in production, including Helm.

- Scripting in PowerShell, Bash and Python.

- Solid grasp of Azure networking, identity (Entra ID, managed identities) and Key Vault.

- Experience with Azure Monitor, Application Insights and Log Analytics.

- Exposure to deploying ML or LLM workloads (Azure OpenAI, AI Foundry, Databricks or similar).

- Transparent communication and comfort working with client IT teams.

Good to have

- Certifications: Microsoft AZ-400 (DevOps Engineer Expert), AZ-104 or AZ-305; HashiCorp Terraform Associate.

- Databricks Asset Bundles, Unity Catalog and workspace automation.

- Power Platform ALM: solutions, pipelines and Copilot Studio deployment.

- MLflow, prompt/version management and LLM evaluation in CI.

- GitOps tooling (Argo CD or Flux) and policy-as-code (Azure Policy, OPA).

- Familiarity with ISO 27001 or SOC 2 control requirements.

📌 Azure Devops Engineer (Agentic AI) (Hyderabad)
🏢 Brad Contech Solutions
📍 Hyderabad